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基于胸部CT影像学表现的肺部感染病原体的评估与甄别
引用本文:金文婷,马玉燕,王萌冉,姚雨濛,黄英男,张尧,王青青,李冰,缪青,苏逸,蔡思诗,李娜,骆煜,潘珏,胡必杰. 基于胸部CT影像学表现的肺部感染病原体的评估与甄别[J]. 中国临床医学, 2020, 27(4): 543-548
作者姓名:金文婷  马玉燕  王萌冉  姚雨濛  黄英男  张尧  王青青  李冰  缪青  苏逸  蔡思诗  李娜  骆煜  潘珏  胡必杰
作者单位:复旦大学附属中山医院感染病科, 上海 200032
基金项目:复旦大学附属中山医院临床研究专项基金(2018ZSLC06).
摘    要:肺部感染是造成死亡人数最多的感染性疾病,早期快速、准确的病原学诊断、精准治疗是改善肺部感染预后、降低死亡率的关键。有些病原体引起的肺部感染病灶,可在胸部CT表现出一定的特征。因此,根据病灶形态、大小、数量、变化速度,临床可评估和甄别引起肺部感染可能的病原体。本文就肺部感染相关胸部CT常见和重要的影像学特征进行述评,旨在提升临床医生对评估肺部感染病原体、合理使用抗菌药物及改善肺部感染预后的能力。

关 键 词:肺部感染  胸部CT  病原体  影像特征
收稿时间:2020-08-07
修稿时间:2020-08-19

Evaluation and identification of pathogens of pulmonary infection based on chest CT imaging features
JIN Wen-ting,MA Yu-yan,WANG Meng-ran,YAO Yu-meng,HUANG Ying-nan,ZHANG Yao,WANG Qing-qing,LI Bing,MIAO Qing,SU Yi,CAI Si-shi,LI N,LUO Yu,PAN Jue,HU Bi-jie. Evaluation and identification of pathogens of pulmonary infection based on chest CT imaging features[J]. Chinese Journal Of Clinical Medicine, 2020, 27(4): 543-548
Authors:JIN Wen-ting  MA Yu-yan  WANG Meng-ran  YAO Yu-meng  HUANG Ying-nan  ZHANG Yao  WANG Qing-qing  LI Bing  MIAO Qing  SU Yi  CAI Si-shi  LI N  LUO Yu  PAN Jue  HU Bi-jie
Affiliation:Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Abstract:Pulmonary infection is the infectious diseases that causes the most deaths. Early, rapid, accurate pathogenic diagnosis and precise treatment are essential for improving the prognosis of pulmonary infection and reducing mortality. Pulmonary infection caused by certain pathogens has specific features on chest CT scans. Possible pathogens can be speculated by CT image features (including the shape, size, number, and changing speed of the lesions) combined with medical history of the patients. This article introduces the common and important imaging features of chest CT scans related to pulmonary infection in order to develop doctors'' ability of evaluating pathogens of pulmonary infection, rational application of antibacterial drugs and improving the prognosis of lung infection.
Keywords:pulmonary infection  chest CT scanning  pathogen  imaging features
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